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ease
features
design
support

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Description

Amazon Lex is a service designed for creating conversational interfaces in various applications through both voice and text input. It incorporates advanced deep learning technologies, such as automatic speech recognition (ASR) for transforming spoken words into text, along with natural language understanding (NLU) that discerns the intended meaning behind the text, facilitating the development of applications that offer immersive user experiences and realistic conversational exchanges. By utilizing the same deep learning capabilities that power Amazon Alexa, Amazon Lex empowers developers to efficiently craft complex, natural language-based chatbots. With its capabilities, you can design bots that enhance productivity in contact centers, streamline straightforward tasks, and promote operational efficiency throughout the organization. Furthermore, as a fully managed service, Amazon Lex automatically scales to meet demand, freeing you from the complexities of infrastructure management and allowing you to focus on innovation. This seamless integration of capabilities makes Amazon Lex an attractive option for developers looking to enhance user interaction.

Description

As artificial intelligence becomes increasingly advanced, its presence in our daily lives is on the rise. What once belonged to the realm of science fiction has seamlessly transitioned into our reality. We now experience the convenience of voice assistants integrated into various devices, including smartphones, vehicles, and home entertainment systems. It was inevitable that businesses would harness these technologies for enhancing customer service. Currently, organizations across diverse sectors such as healthcare, tourism, and finance are transforming their customer service approaches through the implementation of chatbots and voice assistants. Although chatbot technology is progressing rapidly and is widely adopted to boost customer satisfaction while alleviating employees from monotonous tasks, significant challenges still remain. It is crucial for organizations employing voice assistants and chatbot solutions to be aware of these limitations in order to fully leverage their potential. By addressing these challenges, companies can optimize their customer interactions and improve overall service efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS AI Services
AWS App Mesh
AWS Lambda
Amazon CloudWatch
Amazon DynamoDB
Amazon Web Services (AWS)
Axon Ivy
Elastic Path
Facebook Messenger
HubSpot CRM
Microsoft Dynamics 365
PubNub
QuickBooks Online
QuickBooks Online Advanced
Quickwork
Rapport
Stackreaction
UneeQ
WhosOn
Zendesk

Integrations

AWS AI Services
AWS App Mesh
AWS Lambda
Amazon CloudWatch
Amazon DynamoDB
Amazon Web Services (AWS)
Axon Ivy
Elastic Path
Facebook Messenger
HubSpot CRM
Microsoft Dynamics 365
PubNub
QuickBooks Online
QuickBooks Online Advanced
Quickwork
Rapport
Stackreaction
UneeQ
WhosOn
Zendesk

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

€49 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/lex/

Vendor Details

Company Name

Onlim

Founded

2015

Country

Austria

Website

onlim.com/chatbots-und-sprachassistenten-im-kundenservice/

Product Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Natural Language Generation

Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Product Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

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